FSR methods for second-order regression models

DOI10.1016/j.csda.2011.01.009zbMath1328.62110OpenAlexW2079972696WikidataQ42712131 ScholiaQ42712131MaRDI QIDQ901592

Leonard A. Stefanski, Hugh B. Crews, Dennis D. Boos

Publication date: 12 January 2016

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3072220

zbMATH Keywords

model selectionvariable selectionbaggingfalse selection rateresponse optimization

Mathematics Subject Classification ID

Statistical ranking and selection procedures (62F07)

Related Items

Modified versions of the Bayesian information criterion for sparse generalized linear models

Uses Software

• BayesTree
• BartPy

Cites Work

• Bagging predictors
• BART: Bayesian additive regression trees
• Fast FSR Variable Selection with Applications to Clinical Trials
• A Bayesian Variable-Selection Approach for Analyzing Designed Experiments with Complex Aliasing
• Bayesian variable selection with related predictors
• Controlling Variable Selection by the Addition of Pseudovariables
• Adaptive Lasso for Cox's proportional hazards model
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